A convLSTM classifier identifies lensed SNe Ia in simulated LSST-like time series, reaching ~60% true-positive rate at O(10^{-4}) false-positive rate by the seventh epoch even after adding realistic PSF variations and foreground SN contaminants.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
years
2026 2verdicts
UNVERDICTED 2representative citing papers
High-resolution Keck observations and dual-code lens modeling of the first lensed Type I superluminous supernova give sub-milliarcsecond position fits and masses of 4.44 and 0.96 times 10^11 solar masses for the primary and secondary lenses.
citing papers explorer
-
HOLISMOKES XXI: Detecting strongly lensed type Ia supernovae from time series of multi-band LSST-like imaging data -- Part II
A convLSTM classifier identifies lensed SNe Ia in simulated LSST-like time series, reaching ~60% true-positive rate at O(10^{-4}) false-positive rate by the seventh epoch even after adding realistic PSF variations and foreground SN contaminants.
-
Supernova 2025wny: High-angular resolution Keck/NIRC2 observations and preliminary lens modeling
High-resolution Keck observations and dual-code lens modeling of the first lensed Type I superluminous supernova give sub-milliarcsecond position fits and masses of 4.44 and 0.96 times 10^11 solar masses for the primary and secondary lenses.